Guardrail Technologies, a leading provider of AI security and governance software for enterprises building with AI, today announced the launch of Traffic Light for Code & AI™, which validates both the code that AI generates and the people behind the components it relies on. The technology scans the code and returns simple signals: green to continue, orange to review, and red to critical risk, allowing security teams to see vulnerabilities in real-time and take immediate action.
While AI has made it possible to build software as fast as prompts, it has also introduced a type of risk that most companies cannot see or control. AI-generated code comes from unknown sources, behaves in previously undocumented ways, and is moved into production without meaningful validation. At the same time, regulators are turning AI governance into enforceable requirements, requiring organizations to prove they were in control before problems occurred.
Most security tools are built to detect known vulnerabilities rather than unknown behavior. Guardrail Technologies’ Traffic Light for Code & AI™ fills that gap.
“AI is writing code and pushing it into production at machine speed, and traditional security tools aren’t built for that reality,” said TJ Marlin, CEO of Guardrail Technologies. Traffic Light for Code & AI™ is the first security technology to protect the speed at which AI moves, validating what code does, who it comes from, and whether it should be trusted before it is deployed. ”
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AI Traffic Light™ offers five features not found in traditional tools.
- SAFE (Secure Agent Framework Environment)™) is Guardrail’s proprietary framework for agentic AI risk, working with translated cyber, AI risk, and regulatory frameworks (OWASP, Cloud Security Alliance, MITER, STRIDE, etc.) to assess what AI creates and how it behaves.
- behavioral risk analysis Detect zero-day threats by examining what code actually does, not what it looks like. Pattern-based scanners miss what behavior reveals.
- VendorGuard™ Verification Verify the identity and authenticity of all humans and entities behind the components that AI brings into your project.
- Full lifecycle AI security validation answers the three questions every committee asks. Is this code safe, will it be moved to a safe location, will it remain safe?
- Traffic light judgment Convert complex security findings into red, amber, or green decisions that executives can execute in seconds, without the need for a security degree.
This technology addresses the growing liability gap across the industry. Financial institutions must meet federal risk guidance and disclosure requirements. Healthcare organizations face strict protection of patient data. Schools, law firms, and government contractors are operating under growing AI surveillance. In all cases, organizations are expected to demonstrate control as well as intent.
AI Traffic Light™ runs natively within the tools developers already use, including Claude, OpenAI, Cursor, GitHub Copilot, and Google tools. Uses a web-based scanner with no workflow changes and scan times in seconds.
“Every organization is challenged to prove they are in control,” Merlin said. “Evidence needs to be there before something goes wrong, not after it happens. AI Traffic Light™ runs within the tools developers already use and allows them to do that without slowing down their teams.”
AI Traffic Light™ is part of Guardrail Technologies’ suite of AI security technologies that provides centralized behavioral monitoring, compliance audit trails, and ROI measurement for enterprise AI operations. AI Traffic Light™ scan results feed directly into AI Command Center™, giving security teams a central view of code security findings along with evidence of agent behavior, policy enforcement, and documented controls.
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